牡丹江师范学院学报（自然科学版）Issue(1)：26-29,4.
基于多种策略共同改进DV-Hop定位算法研究
Research on Improving DV-Hop Localization Algorithm based on Multiple Strategies
摘要
Abstract
In this paper,we propose an improved DV-Hop localization algorithm based on multiple strategies,ab-breviated as TNGODV-Hop.The algorithm is added to the initial population of the Tent chaotic map and adopts a mixed reverse learning strategy to optimize the Northern Goshawk algorithm and calculate the coordinates of un-known nodes.The simulation results show that the DV-Hop localization algorithm,which was improved by multiple strategies,has achieved a remarkable improvement in accuracy.关键词
无线传感器网络/DV-Hop定位算法/北方苍鹰优化算法Key words
WSN/DV-Hop algorithm localization/North goshawk optimization algorithm分类
计算机与自动化引用本文复制引用
田祎然..基于多种策略共同改进DV-Hop定位算法研究[J].牡丹江师范学院学报（自然科学版）,2025,(1):26-29,4.基金项目
黑龙江省基本科研业务费项目(1454QN016) （1454QN016）
黑龙江省自然科学基金项目(LH2019E126) （LH2019E126）
